Michelle Michels

2.6k citations
43 papers · 1.3k indexed · 1 hit paper · h-index 15

Michelle Michels

37 papers receiving 1.2k citations

Hit Papers

Genotype and Lifetime Burden of Disease in Hypertrophic C...4562018202620202023100200300400

Peers

Michelle Michels
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 1.1k
  • Developmental Neuroscience 80
  • Genetics 57
  • Epidemiology 179
  • Applied Psychology 25
Replace Laura Yeates with:
Laura Yeates Australia
C. Giannesini France
Scott H. Buck United States
Oren Feldman Israel
Samuel G. Wittekind United States
Jacob Katz Israel
C Enzensberger Germany
Shiva Sarraf‐Yazdi United States
Michael Ibrahim United Kingdom
Susan Christian Canada
Michelle Michels relative to Laura Yeates Australia Laura Yeates's profile →
Citations per field
00.5×2.7×
Laura Yeates · 1×
Citations per year

Countries citing papers authored by Michelle Michels

Since Specialization
Citations

This map shows the geographic impact of Michelle Michels's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michelle Michels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Michels more than expected).

Fields of papers citing papers by Michelle Michels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Michels. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michelle Michels. The network helps show where Michelle Michels may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michelle Michels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Michels Line = papers co-authored together Michelle Michels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20234
5 20233
6 20233
7 20235
8 202212
9 202011
10 20185
11 201730
12 201611
13
Independent validation of the novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM Risk-SCD)
20140
14 20140
15 20141
16 201220
17 200833
18 200794
19 200729
20 200710

About Michelle Michels

Michelle Michels is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Genetics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (30 papers), Cardiovascular Function and Risk Factors (12 papers), Cardiovascular Effects of Exercise (10 papers), Cardiac Arrhythmias and Treatments (6 papers), Viral Infections and Immunology Research (6 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Structural Anomalies and Repair (4 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Developmental Neuroscience (80 citations) and Genetics (57 citations). Michelle Michels has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Iacopo Olivotto, Carolyn Y. Ho, Sharlene M. Day, Folkert J. ten Cate, Neal K. Lakdawala, Euan A. Ashley, Daniel Jacoby, Steven D. Colan, Colleen Caleshu and James S. Ware. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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